This presentation was created for the Peer-Graded Assignment of the Developing Data Products course.

It uses Plotly for interactive visualizations based on air quality data, synthetically generated to mimic real-world urban conditions.

A simulated dataset, including pollutants and weather parameters.

The presentation includes the date and fulfills the project rubric.

This dataset was synthetically generated to reflect realistic urban air quality conditions.

It includes pollutants such as CO, NOx, NO₂, O₃, SO₂, PM2.5, and PM10, as well as weather variables like temperature, humidity, wind speed, and pressure.

Limitations:

• Synthetic, not from real sensors.
• Not suitable for actual policy use.

Data Source:

From Kaggle. View the dataset:
[https://www.kaggle.com/datasets/khushikyad001/air-quality-data]